Pandas Profiling Report

Dataset statistics

Number of variables	12
Number of observations	3613
Missing cells	2807
Missing cells (%)	6.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	338.8 KiB
Average record size in memory	96.0 B

Variable types

NUM	11
CAT	1

Warnings

`country` has a high cardinality: 178 distinct values	High cardinality
`basic_sanitation_access_percent` has 498 (13.8%) missing values	Missing
`suicide_per_100000_people` has 2309 (63.9%) missing values	Missing

Reproduction

Analysis started	2022-03-29 18:18:14.734344
Analysis finished	2022-03-29 18:18:31.906927
Duration	17.17 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

country
Categorical

HIGH CARDINALITY

Distinct	178
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	28.2 KiB

Singapore	27
Croatia	27
Netherlands	27
Sweden	27
Malta	27
Other values (173)	3478

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
Singapore	27	0.7%
Croatia	27	0.7%
Netherlands	27	0.7%
Sweden	27	0.7%
Malta	27	0.7%
Slovenia	27	0.7%
Ukraine	27	0.7%
Norway	27	0.7%
Estonia	27	0.7%
Portugal	27	0.7%
Other values (168)	3343	92.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	30
Median length	7
Mean length	8.367284805
Min length	3

year
Real number (ℝ_≥0)

Distinct	27
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2005.762801
Minimum	1990
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	1990
5-th percentile	1993
Q1	2001
median	2006
Q3	2011
95-th percentile	2015
Maximum	2016
Range	26
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.781467002
Coefficient of variation (CV)	0.00338099151
Kurtosis	-0.6258460842
Mean	2005.762801
Median Absolute Deviation (MAD)	5
Skewness	-0.4129609357
Sum	7246821
Variance	45.9882947
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
2014	178	4.9%
2013	178	4.9%
2011	178	4.9%
2010	178	4.9%
2012	178	4.9%
2015	177	4.9%
2009	177	4.9%
2007	176	4.9%
2006	176	4.9%
2008	176	4.9%
Other values (17)	1841	51.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1990	54	1.5%
1991	57	1.6%
1992	60	1.7%
1993	59	1.6%
1994	57	1.6%

Value	Count	Frequency (%)
2016	174	4.8%
2015	177	4.9%
2014	178	4.9%
2013	178	4.9%
2012	178	4.9%

basic_sanitation_access_percent
Real number (ℝ_≥0)

MISSING

Distinct	846
Distinct (%)	27.2%
Missing	498
Missing (%)	13.8%
Infinite	0
Infinite (%)	0.0%

Mean	70.64791332
Minimum	3.4
Maximum	100
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	3.4
5-th percentile	13.17
Q1	44.05
median	85.6
Q3	97.6
95-th percentile	100
Maximum	100
Range	96.6
Interquartile range (IQR)	53.55

Descriptive statistics

Standard deviation	30.77317561
Coefficient of variation (CV)	0.4355850607
Kurtosis	-0.9446136345
Mean	70.64791332
Median Absolute Deviation (MAD)	13.9
Skewness	-0.7549232893
Sum	220068.25
Variance	946.9883374
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	213	5.9%
99.1	62	1.7%
99.9	57	1.6%
98.8	36	1.0%
99.6	33	0.9%
99.4	30	0.8%
97.9	29	0.8%
98	28	0.8%
99.5	28	0.8%
98.1	27	0.7%
Other values (836)	2572	71.2%
(Missing)	498	13.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.4	1	< 0.1%
3.64	1	< 0.1%
3.88	1	< 0.1%
4.11	1	< 0.1%
4.32	1	< 0.1%

Value	Count	Frequency (%)
100	213	5.9%
99.9	57	1.6%
99.8	10	0.3%
99.7	11	0.3%
99.6	33	0.9%

child_mortality_0_5_year_olds_dying_per_1000_born
Real number (ℝ_≥0)

Distinct	1393
Distinct (%)	38.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	37.84452809
Minimum	1.85
Maximum	234
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	1.85
5-th percentile	3.78
Q1	7.94
median	19.5
Q3	55.4
95-th percentile	128
Maximum	234
Range	232.15
Interquartile range (IQR)	47.46

Descriptive statistics

Standard deviation	41.62014388
Coefficient of variation (CV)	1.099766491
Kurtosis	1.981740859
Mean	37.84452809
Median Absolute Deviation (MAD)	13.91
Skewness	1.573217287
Sum	136732.28
Variance	1732.236376
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
101	15	0.4%
11.2	13	0.4%
15.7	13	0.4%
17.6	12	0.3%
107	12	0.3%
16.7	12	0.3%
10.9	12	0.3%
10.2	12	0.3%
10.6	12	0.3%
19.2	11	0.3%
Other values (1383)	3489	96.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.85	1	< 0.1%
2.02	1	< 0.1%
2.03	1	< 0.1%
2.1	1	< 0.1%
2.15	1	< 0.1%

Value	Count	Frequency (%)
234	1	< 0.1%
229	1	< 0.1%
226	1	< 0.1%
223	1	< 0.1%
217	2	0.1%

children_per_woman_total_fertility
Real number (ℝ_≥0)

Distinct	594
Distinct (%)	16.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.847794077
Minimum	0.95
Maximum	7.68
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	0.95
5-th percentile	1.3
Q1	1.66
median	2.29
Q3	3.78
95-th percentile	5.88
Maximum	7.68
Range	6.73
Interquartile range (IQR)	2.12

Descriptive statistics

Standard deviation	1.5214474
Coefficient of variation (CV)	0.5342547106
Kurtosis	0.05269051893
Mean	2.847794077
Median Absolute Deviation (MAD)	0.77
Skewness	1.039316331
Sum	10289.08
Variance	2.314802192
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.34	27	0.7%
1.47	27	0.7%
1.31	26	0.7%
1.58	26	0.7%
1.38	26	0.7%
1.6	26	0.7%
1.72	26	0.7%
1.8	25	0.7%
1.98	25	0.7%
1.73	24	0.7%
Other values (584)	3355	92.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.95	1	< 0.1%
0.96	2	0.1%
0.97	2	0.1%
0.98	1	< 0.1%
0.99	1	< 0.1%

Value	Count	Frequency (%)
7.68	1	< 0.1%
7.67	1	< 0.1%
7.66	1	< 0.1%
7.64	1	< 0.1%
7.63	1	< 0.1%

co2_emissions_tonnes_per_person
Real number (ℝ_≥0)

Distinct	1664
Distinct (%)	46.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.228570662
Minimum	0.0159
Maximum	67.1
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	0.0159
5-th percentile	0.09474
Q1	0.752
median	2.99
Q3	7.72
95-th percentile	17.64
Maximum	67.1
Range	67.0841
Interquartile range (IQR)	6.968

Descriptive statistics

Standard deviation	6.591078883
Coefficient of variation (CV)	1.260589042
Kurtosis	14.68597445
Mean	5.228570662
Median Absolute Deviation (MAD)	2.708
Skewness	2.964992556
Sum	18890.8258
Variance	43.44232085
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.2	16	0.4%
10.1	15	0.4%
10.3	15	0.4%
11.3	13	0.4%
1.04	13	0.4%
10.5	12	0.3%
11	12	0.3%
1.01	12	0.3%
1.18	11	0.3%
1.11	10	0.3%
Other values (1654)	3484	96.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0159	1	< 0.1%
0.0171	1	< 0.1%
0.019	1	< 0.1%
0.0202	1	< 0.1%
0.0209	1	< 0.1%

Value	Count	Frequency (%)
67.1	1	< 0.1%
63.6	1	< 0.1%
61.8	1	< 0.1%
60.6	1	< 0.1%
58.6	1	< 0.1%

employment_rate_percent
Real number (ℝ_≥0)

Distinct	530
Distinct (%)	14.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	57.09092167
Minimum	28.9
Maximum	87.8
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	28.9
5-th percentile	39.4
Q1	49.9
median	57.1
Q3	63.2
95-th percentile	77.64
Maximum	87.8
Range	58.9
Interquartile range (IQR)	13.3

Descriptive statistics

Standard deviation	11.02380242
Coefficient of variation (CV)	0.1930920381
Kurtosis	-0.04917632953
Mean	57.09092167
Median Absolute Deviation (MAD)	6.6
Skewness	0.2012949482
Sum	206269.5
Variance	121.5242199
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58.2	28	0.8%
58	27	0.7%
60	23	0.6%
52.6	22	0.6%
55.1	22	0.6%
59.2	22	0.6%
59.4	22	0.6%
58.8	22	0.6%
57.4	21	0.6%
56.5	21	0.6%
Other values (520)	3383	93.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28.9	2	0.1%
29.2	1	< 0.1%
29.3	2	0.1%
29.4	1	< 0.1%
29.6	1	< 0.1%

Value	Count	Frequency (%)
87.8	1	< 0.1%
87.4	1	< 0.1%
87.1	1	< 0.1%
87	1	< 0.1%
86.8	1	< 0.1%

hdi
Real number (ℝ_≥0)

Distinct	639
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6813606421
Minimum	0.253
Maximum	0.953
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	0.253
5-th percentile	0.403
Q1	0.565
median	0.705
Q3	0.806
95-th percentile	0.902
Maximum	0.953
Range	0.7
Interquartile range (IQR)	0.241

Descriptive statistics

Standard deviation	0.158158554
Coefficient of variation (CV)	0.2321216464
Kurtosis	-0.7196891619
Mean	0.6813606421
Median Absolute Deviation (MAD)	0.115
Skewness	-0.4487690133
Sum	2461.756
Variance	0.02501412821
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.899	20	0.6%
0.724	17	0.5%
0.681	16	0.4%
0.72	16	0.4%
0.767	15	0.4%
0.728	15	0.4%
0.666	15	0.4%
0.835	14	0.4%
0.702	14	0.4%
0.8	14	0.4%
Other values (629)	3457	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.253	1	< 0.1%
0.259	1	< 0.1%
0.263	1	< 0.1%
0.268	1	< 0.1%
0.276	1	< 0.1%

Value	Count	Frequency (%)
0.953	1	< 0.1%
0.951	1	< 0.1%
0.948	1	< 0.1%
0.946	1	< 0.1%
0.945	1	< 0.1%

income_per_person_gdppercapita_ppp_inflation_adjusted
Real number (ℝ_≥0)

Distinct	1317
Distinct (%)	36.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18668.31414
Minimum	563
Maximum	115000
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	563
5-th percentile	1356
Q1	4160
median	11500
Q3	29000
95-th percentile	54340
Maximum	115000
Range	114437
Interquartile range (IQR)	24840

Descriptive statistics

Standard deviation	19098.43275
Coefficient of variation (CV)	1.023040035
Kurtosis	2.912245621
Mean	18668.31414
Median Absolute Deviation (MAD)	8630
Skewness	1.600439221
Sum	67448619
Variance	364750133.5
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11900	19	0.5%
10300	18	0.5%
11000	18	0.5%
10500	18	0.5%
10600	17	0.5%
11700	17	0.5%
11300	16	0.4%
10100	15	0.4%
11800	14	0.4%
10400	13	0.4%
Other values (1307)	3448	95.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
563	1	< 0.1%
578	1	< 0.1%
631	1	< 0.1%
687	1	< 0.1%
715	1	< 0.1%

Value	Count	Frequency (%)
115000	1	< 0.1%
113000	2	0.1%
112000	1	< 0.1%
111000	1	< 0.1%
109000	1	< 0.1%

life_expectancy
Real number (ℝ_≥0)

Distinct	386
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	70.63243842
Minimum	32.5
Maximum	84.7
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	32.5
5-th percentile	54.4
Q1	65.5
median	72.6
Q3	77
95-th percentile	81.5
Maximum	84.7
Range	52.2
Interquartile range (IQR)	11.5

Descriptive statistics

Standard deviation	8.461934475
Coefficient of variation (CV)	0.1198023835
Kurtosis	0.2199454916
Mean	70.63243842
Median Absolute Deviation (MAD)	5.3
Skewness	-0.8423724842
Sum	255195
Variance	71.60433505
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75.5	32	0.9%
75	27	0.7%
76.8	27	0.7%
76.3	26	0.7%
78	26	0.7%
77.8	26	0.7%
75.3	26	0.7%
76.5	25	0.7%
74.7	25	0.7%
76	25	0.7%
Other values (376)	3348	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
32.5	1	< 0.1%
43.1	1	< 0.1%
43.3	1	< 0.1%
43.8	1	< 0.1%
43.9	3	0.1%

Value	Count	Frequency (%)
84.7	2	0.1%
84.5	1	< 0.1%
84.4	1	< 0.1%
84.3	1	< 0.1%
84.1	3	0.1%

population_total
Real number (ℝ_≥0)

Distinct	1760
Distinct (%)	48.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	36691358.18
Minimum	98000
Maximum	1420000000
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	98000
5-th percentile	333200
Q1	3110000
median	8680000
Q3	26500000
95-th percentile	128000000
Maximum	1420000000
Range	1419902000
Interquartile range (IQR)	23390000

Descriptive statistics

Standard deviation	132341540.4
Coefficient of variation (CV)	3.606885845
Kurtosis	78.20505012
Mean	36691358.18
Median Absolute Deviation (MAD)	7320000
Skewness	8.542734314
Sum	1.325658771e+11
Variance	1.751428333e+16
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10300000	28	0.8%
10400000	25	0.7%
10500000	19	0.5%
10600000	19	0.5%
11200000	19	0.5%
10200000	18	0.5%
128000000	16	0.4%
1990000	16	0.4%
11300000	15	0.4%
5400000	15	0.4%
Other values (1750)	3423	94.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
98000	1	< 0.1%
98500	1	< 0.1%
99000	1	< 0.1%
99600	1	< 0.1%
100000	1	< 0.1%

Value	Count	Frequency (%)
1420000000	1	< 0.1%
1410000000	2	0.1%
1400000000	1	< 0.1%
1390000000	1	< 0.1%
1380000000	2	0.1%

suicide_per_100000_people
Real number (ℝ_≥0)

MISSING

Distinct	620
Distinct (%)	47.5%
Missing	2309
Missing (%)	63.9%
Infinite	0
Infinite (%)	0.0%

Mean	11.84534363
Minimum	0.0454
Maximum	44.3
Zeros	0
Zeros (%)	0.0%
Memory size	28.2 KiB

Quantile statistics

Minimum	0.0454
5-th percentile	1.749
Q1	6.555
median	10.9
Q3	14.8
95-th percentile	26.985
Maximum	44.3
Range	44.2546
Interquartile range (IQR)	8.245

Descriptive statistics

Standard deviation	7.573063358
Coefficient of variation (CV)	0.6393282957
Kurtosis	2.208666907
Mean	11.84534363
Median Absolute Deviation (MAD)	4.235
Skewness	1.242623266
Sum	15446.3281
Variance	57.35128862
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.4	16	0.4%
10.7	15	0.4%
10.8	14	0.4%
13.6	14	0.4%
11.3	14	0.4%
13.7	14	0.4%
13	14	0.4%
13.1	13	0.4%
12.2	13	0.4%
11.2	13	0.4%
Other values (610)	1164	32.2%
(Missing)	2309	63.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0454	1	< 0.1%
0.0578	1	< 0.1%
0.0628	1	< 0.1%
0.0669	1	< 0.1%
0.0684	1	< 0.1%

Value	Count	Frequency (%)
44.3	1	< 0.1%
43.6	1	< 0.1%
43.2	1	< 0.1%
42.5	1	< 0.1%
42.4	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

First rows

	country	year	basic_sanitation_access_percent	child_mortality_0_5_year_olds_dying_per_1000_born	children_per_woman_total_fertility	co2_emissions_tonnes_per_person	employment_rate_percent	hdi	income_per_person_gdppercapita_ppp_inflation_adjusted	life_expectancy	population_total	suicide_per_100000_people
0	Afghanistan	1999	23.5	129.0	7.49	0.0370	45.9	0.345	578	54.7	20800000	NaN
1	Afghanistan	2000	23.5	125.0	7.39	0.0376	45.9	0.347	563	54.8	21600000	NaN
2	Afghanistan	2001	24.6	121.0	7.27	0.0471	47.7	0.378	1190	55.5	22600000	NaN
3	Afghanistan	2002	25.8	117.0	7.14	0.0509	47.9	0.387	1240	56.5	23700000	NaN
4	Afghanistan	2003	26.9	113.0	6.99	0.0368	47.5	0.400	1200	57.1	24700000	NaN
5	Afghanistan	2004	28.0	109.0	6.83	0.0515	48.5	0.410	1290	57.6	25700000	NaN
6	Afghanistan	2005	29.2	104.0	6.65	0.0622	47.9	0.419	1320	58.0	26400000	NaN
7	Afghanistan	2006	30.4	100.0	6.46	0.0838	48.2	0.431	1460	58.5	27100000	NaN
8	Afghanistan	2007	31.7	96.0	6.25	0.1520	47.4	0.436	1480	59.2	27700000	NaN
9	Afghanistan	2008	32.9	91.9	6.04	0.2380	48.3	0.447	1760	59.9	28400000	NaN

Last rows

	country	year	basic_sanitation_access_percent	child_mortality_0_5_year_olds_dying_per_1000_born	children_per_woman_total_fertility	co2_emissions_tonnes_per_person	employment_rate_percent	hdi	income_per_person_gdppercapita_ppp_inflation_adjusted	life_expectancy	population_total	suicide_per_100000_people
3603	Zimbabwe	2007	42.5	97.0	4.01	0.624	78.6	0.432	1740	48.9	12400000	NaN
3604	Zimbabwe	2008	41.8	92.7	4.02	0.441	78.4	0.448	1930	50.2	12500000	NaN
3605	Zimbabwe	2009	41.1	86.3	4.03	0.607	78.3	0.472	2270	52.3	12700000	NaN
3606	Zimbabwe	2010	40.3	79.0	4.02	0.737	78.3	0.490	2560	54.4	12900000	NaN
3607	Zimbabwe	2011	39.6	69.8	4.00	0.587	78.5	0.516	2930	56.0	13100000	NaN
3608	Zimbabwe	2012	38.9	62.3	3.96	0.872	78.7	0.527	2940	57.2	13400000	NaN
3609	Zimbabwe	2013	38.3	57.5	3.90	0.881	78.9	0.537	2960	58.0	13600000	NaN
3610	Zimbabwe	2014	37.6	54.3	3.84	0.881	79.0	0.544	2960	58.6	13800000	NaN
3611	Zimbabwe	2015	36.9	50.4	3.76	0.771	79.1	0.549	2940	59.2	14000000	NaN
3612	Zimbabwe	2016	36.2	49.3	3.68	0.845	79.4	0.553	3030	59.9	14200000	NaN

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows